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Statistical bioinformatics with R
Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It presents Bayesian methods and the modern multiple testing principles.
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| Format: | Printed Book |
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Amsterdam ; Boston
Academic Press/Elsevier
2010
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Table of Contents:
- Ch. 1. Introduction
- Ch. 2. Microarrays
- Ch. 3. Probability and Statistical Theory
- Ch. 4. Special Distributions, Properties, and Applications
- Ch. 5. Statistical Inference and Applications
- Ch. 6. Nonparametric Statistics
- Ch. 7. Bayesian Statistics
- Ch. 8. Markov Chain Monte Carlo
- Ch. 9. Analysis of Variance
- Ch. 10. The Design of Experiments
- Ch. 11. Multiple Testing of Hypotheses.